Machine Learning Engineer

Overview

As Machine Learning Engineer you will design, train, and optimise models for user personalisation within a business-critical programme at a leading consultancy. You will build scalable data pipelines, deploy models to production, and lead experiments to drive continuous improvement. Collaborating with cross-functional teams, you’ll align ML initiatives with business goals and explore cutting-edge research for potential integration. This role offers impact through improving recommendations, segmentation, and content analysis in a dynamic client-facing environment.

Responsibilities

• Design, train and optimise ML models for personalisation (recommendation engines, ranking, segmentation, content analysis)
• Build and maintain scalable data pipelines for feature engineering and model training on large-scale structured and unstructured data
• Deploy, monitor and maintain ML models in production ensuring availability and performance
• Lead A/B tests and offline experiments to evaluate model efficacy and drive improvements
• Collaborate with cross-functional teams to align ML work with business objectives and user needs
• Research emerging ML and deep learning methods for potential integration into existing systems

Key requirements

• cross-functional collaboration
• analytical thinking
• communication
• machine learning model design and optimisation
• feature engineering for large-scale datasets
• data pipeline engineering

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